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Alexander Genkin
Alexander Genkin
Neuroscience Institute, NYU Langone Medical Center
Verified email at nyumc.org - Homepage
Title
Cited by
Cited by
Year
Large-scale Bayesian logistic regression for text categorization
A Genkin, DD Lewis, D Madigan
technometrics 49 (3), 291-304, 2007
9452007
Author identification on the large scale
D Madigan, A Genkin, DD Lewis, S Argamon, D Fradkin, L Ye
Proceedings of the 2005 Meeting of the Classification Society of North …, 2005
1622005
Constructing informative prior distributions from domain knowledge in text classification
A Dayanik, DD Lewis, D Madigan, V Menkov, A Genkin
Proceedings of the 29th annual international ACM SIGIR conference on …, 2006
702006
Bayesian multinomial logistic regression for author identification
D Madigan, A Genkin, DD Lewis, D Fradkin
AIP conference proceedings 803 (1), 509-516, 2005
662005
Sparse bayesian classifiers for text categorization
S Eyheramendy, A Genkin, WH Ju, DD Lewis, D Madigan
Journal of Intelligence Community Research and Development 13, 2003
482003
Sparse logistic regression for text categorization
A Genkin, DD Lewis, D Madigan
DIMACS Working Group on Monitoring Message Streams Project Report, 2005
352005
Increasing depth resolution of electron microscopy of neural circuits using sparse tomographic reconstruction
A Veeraraghavan, AV Genkin, S Vitaladevuni, L Scheffer, S Xu, H Hess, ...
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
332010
Manifold-tiling localized receptive fields are optimal in similarity-preserving neural networks
A Sengupta, C Pehlevan, M Tepper, A Genkin, D Chklovskii
Advances in Neural Information Processing Systems 31, 7080-7090, 2018
282018
Mitochondria detection in electron microscopy images
S Vitaladevuni, Y Mishchenko, A Genkin, D Chklovskii, K Harris
Workshop on Microscopic Image Analysis with Applications in Biology 42, 2008
272008
Bbr: Bayesian logistic regression software
A Genkin, DD Lewis, D Madigan
Center for Discrete Mathematics and Theoretical Computer Science, Rutgers …, 2005
262005
DIMACS at the TREC 2004 Genomics Track.
AA Dayanik, D Fradkin, A Genkin, PB Kantor, D Madigan, DD Lewis, ...
TREC, 2004
262004
A clustering neural network model of insect olfaction
C Pehlevan, A Genkin, DB Chklovskii
2017 51st Asilomar Conference on Signals, Systems, and Computers, 593-600, 2017
222017
A network of spiking neurons for computing sparse representations in an energy-efficient way
T Hu, A Genkin, DB Chklovskii
Neural computation 24 (11), 2852-2872, 2012
222012
Fixed points approach to clustering
AV Genkin, IB Muchnik
Journal of Classification 10 (2), 219-240, 1993
161993
Optimum algorithm for maximization of submodular functions
AV Genkin, IB Muchnik
Automation and Remote Control 51 (8 pt 2), 1121-1128, 1991
161991
A neuron as a signal processing device
T Hu, ZJ Towfic, C Pehlevan, A Genkin, DB Chklovskii
Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA …, 2013
102013
Large-scale Bayesian logistic regression for text categorization, 2006
A Genkin, D Lewis, D Madigan
Technometrics. Available from www. stat. rutgers. edu/madigan/papers, 2004
102004
BMR: Bayesian multinomial regression software
A Genkin, DD Lewis, D Madigan
92005
Distributed coordinate descent for l1-regularized logistic regression
I Trofimov, A Genkin
arXiv preprint arXiv:1411.6520, 2014
82014
Set covering submodular maximization: An optimal algorithm for data mining in bioinformatics and medical informatics
A Genkin, CA Kulikowski, I Muchnik
Journal of Intelligent & Fuzzy Systems 12 (1), 5-17, 2002
72002
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